{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9852804","patent":{"patent_number":"US-9852804","title":"Nonvolatile memory device, memory system, method of operating nonvolatile memory device, and method of operating memory system","assignee":null,"inventors":[],"filing_date":"2016-09-30T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G11C","G11C","G11C","G11C","G11C","G11C"],"num_claims":19,"abstract":"A method of operating a nonvolatile memory device that includes a three-dimensional (3D) memory cell array is provided as follows. A first read operation is performed on first memory cells connected to a first word line by using a first read voltage level. A read retry operation is, if the first read operation fails, performed on the first memory cells so that a read retry voltage level is set to a second read voltage level. A read offset table is determined based on a difference between the first read voltage level and the second read voltage level. The read offset table stores a plurality of read voltage offsets. A second read operation is performed on second memory cells connected to a second word line by using a third read voltage level determined using the read offset table."},"analysis":{"summary":"The patent titled \"Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System\" introduces a sophisticated method to significantly enhance the reliability and operational efficiency of nonvolatile memory devices, particularly those utilizing three-dimensional (3D) memory cell arrays. The core innovation lies in an adaptive read operation strategy.\n\nThe primary problem this invention solves is the challenge of reliably reading data from 3D NAND flash memory, which is prone to read errors due to factors like cell degradation, interference, and varying charge retention levels. Traditional methods often rely on fixed read voltages or inefficient brute-force retry mechanisms, leading to performance bottlenecks and reduced device lifespan.\n\nThis patent's key technical approach involves a three-step process: First, an initial read operation is performed on memory cells using a first read voltage. If this operation fails, a read retry is executed with a second, adjusted read voltage. Crucially, a 'read offset table' is then dynamically determined based on the difference between these two voltage levels. This table stores a collection of optimal read voltage offsets. Finally, for subsequent read operations on other memory cells, the system proactively uses a third, optimized read voltage level derived from this learned offset table.\n\nThe business value and applications are substantial. This technology offers significantly improved data integrity, which is critical for enterprise storage, cloud computing, AI/ML systems, and autonomous vehicles. It extends the operational lifespan of expensive 3D NAND devices, reducing total cost of ownership and electronic waste. Furthermore, by minimizing read retries, it boosts overall system performance and reduces power consumption. The market opportunity for memory solutions that can deliver superior reliability and longevity is immense and growing, making this innovation highly relevant for manufacturers, system integrators, and end-users demanding robust data storage.","layman_explanation":"At its core, the digital world runs on memory. From your smartphone to massive cloud data centers, nonvolatile memory—like the flash memory in your SSD—is essential for storing information even when the power is off. However, as technology advances, particularly with the advent of three-dimensional (3D) memory architectures, ensuring this data is read accurately and efficiently becomes increasingly challenging. This patent, titled \"Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System,\" offers a sophisticated solution to these critical issues.\n\n**1. What Problem Does This Solve?**\n\nImagine you have a vast library, and the books are stacked incredibly high and close together. Over time, some books might get a bit dusty, their pages might stick, or they might be slightly out of alignment, making them hard to read clearly. In the world of 3D NAND flash memory, individual memory cells—the 'books'—are packed tightly in vertical layers. As these cells age, undergo countless read/write cycles, or experience environmental stress, the electrical signals representing the stored data can become weak or ambiguous. This leads to 'read errors,' where the memory system misinterprets the data. Current solutions often involve trying to read the data multiple times with slightly different settings (retries), which wastes time, consumes power, and doesn't always guarantee success. The problem is a lack of intelligent, adaptive precision in reading data from increasingly complex and potentially degraded memory cells.\n\n**2. How Does It Work?**\n\nThis invention introduces an intelligent, learning-based approach to reading data. Think of it like a librarian who not only tries different ways to read a difficult book but also *remembers* what worked best for that particular book or shelf, and then uses that knowledge to read other similar books more easily in the future. Here’s a simplified breakdown:\n\n*   **Initial Attempt:** When the system needs to read data from a group of memory cells (a 'word line'), it makes a first attempt using a standard reading setting (a 'read voltage level').\n*   **Learning from Failure:** If this first attempt fails to retrieve the data reliably (like not being able to read the book), the system doesn't just give up or randomly retry. Instead, it performs a 'read retry' operation, but this time, it *adjusts* the reading setting (a 'second read voltage level') based on specific criteria, aiming for success.\n*   **Building the 'Knowledge Base':** Once the retry is successful, the system calculates the *difference* between the initial reading setting and the successful retry setting. It then stores this 'difference' or 'offset' in a special internal 'read offset table.' This table becomes its knowledge base, accumulating insights on how to best read different parts of the memory.\n*   **Proactive Optimization:** For all future read operations on other groups of memory cells, the system first consults this 'read offset table.' It uses the learned offsets to proactively apply an *optimized* reading setting (a 'third read voltage level') right from the start. This means it's much more likely to read the data correctly on the very first try.\n\n**3. Why Does This Matter?**\n\nThis adaptive learning approach has significant business implications:\n\n*   **Enhanced Reliability:** For businesses dealing with critical data—like financial transactions, medical records, or AI models—data integrity is paramount. This technology drastically reduces the risk of read errors, ensuring higher data accuracy and system stability.\n*   **Extended Lifespan & ROI:** Memory devices are expensive. By intelligently adapting to cell degradation, this innovation allows memory chips to operate reliably for longer periods. This extends the useful life of SSDs and other nonvolatile storage, leading to a higher return on investment (ROI) for hardware purchases and reduced replacement costs for data centers.\n*   **Improved Performance:** Fewer retries mean faster data access. In applications where speed is crucial (e.g., real-time analytics, high-performance computing), this translates directly into better system responsiveness and user experience.\n*   **Competitive Edge:** Manufacturers and cloud providers who implement this technology can offer superior, more reliable, and longer-lasting storage solutions, differentiating themselves in a highly competitive market.\n\n**4. What's Next?**\n\nThe \"Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System\" patent paves the way for a new generation of 'smart' memory. We can expect to see this kind of adaptive technology integrated into future SSDs, enterprise storage arrays, and even specialized memory for edge computing and AI accelerators. As data demands continue to grow, and memory cells become even more densely packed, intelligent management like this will become not just an advantage, but a necessity for robust and efficient digital infrastructure. Investors should note that companies embracing such innovations are likely to lead the charge in next-gen data storage.","technical_analysis":"The \"Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System\" patent introduces a sophisticated method for enhancing the reliability and performance of nonvolatile memory, specifically targeting three-dimensional (3D) memory cell arrays. This technical analysis will delve into the underlying architecture, algorithmic specifics, and implications for modern memory systems.\n\n**Technical Architecture Overview:**\nThe invention primarily operates within the memory controller responsible for managing read and write operations to the 3D memory cell array. The 3D memory array typically comprises vertically stacked memory cells, each connected to a word line (WL) and bit line (BL). The core architectural components involved are: a voltage generator (or DAC) for applying read voltages, sensing circuits (comparators or ADCs) for detecting cell states, error correction code (ECC) engines for data validation, and a dedicated control logic unit that implements the adaptive read algorithm and manages the read offset table.\n\n**Algorithm Specifics and Implementation Details:**\nThe method described in the patent can be broken down into three primary algorithmic phases:\n\n1.  **Initial Read Operation:**\n    *   **Input:** A target word line (e.g., WL_A) and a set of memory cells connected to it. A default or historically determined `V_read_initial` is applied to sense the cell states. Multiple `V_read_initial` levels might be used for multi-level cells (MLC, TLC, QLC).\n    *   **Process:** The sensing circuits read the threshold voltages (Vt) or currents of the cells. The raw data is then passed to the ECC engine.\n    *   **Output/Condition:** If the ECC engine successfully corrects errors and retrieves the data, the operation is complete. If the read fails (e.g., uncorrectable errors, high bit error rate exceeding a threshold), the system proceeds to a read retry.\n\n2.  **Adaptive Read Retry Operation and Offset Determination:**\n    *   **Trigger:** A failure from the initial read operation on WL_A.\n    *   **Process:** The control logic initiates a read retry. Instead of cycling through a predefined, exhaustive list of voltages, the system applies a `V_read_retry`. This `V_read_retry` is strategically chosen. It could be incrementally adjusted from `V_read_initial` (e.g., `V_read_initial + ΔV_small`, `V_read_initial - ΔV_small`), or it could be derived from a statistical model based on the type of failure observed. The retry process continues, potentially iterating through a limited set of `V_read_retry` values until a successful read is achieved or a hard error is declared.\n    *   **Offset Calculation:** Upon a successful read retry (where `V_read_retry` enabled data recovery), the control logic calculates the `offset_value = V_read_retry - V_read_initial`. This `offset_value` quantifies the voltage adjustment needed for reliable reading from that specific word line under current conditions.\n    *   **Read Offset Table Update:** The `offset_value` is then stored in a `read offset table`. This table is typically implemented as a lookup table (LUT) in a dedicated SRAM or flash memory within the controller. The table might be indexed by word line address, block address, or even logical block address (LBA) to associate specific offsets with memory regions. It stores a plurality of such offsets, potentially averaged or weighted over multiple retries for greater robustness.\n\n3.  **Proactive Read Operation using Offset Table:**\n    *   **Input:** A new target word line (e.g., WL_B) requiring a read operation.\n    *   **Process:** Before the actual read, the control logic consults the `read offset table` using WL_B's address or associated metadata. It retrieves a `predicted_offset` relevant to WL_B or its surrounding block/plane. A `V_read_optimized` is then determined by applying this offset to a base read voltage (e.g., `V_read_optimized = V_base_read + predicted_offset`).\n    *   **Execution:** The memory device then performs the read operation on WL_B using this `V_read_optimized`. This proactive adjustment significantly increases the probability of a successful first-pass read, minimizing the need for subsequent retries.\n\n**Integration Patterns and Performance Characteristics:**\nThis method seamlessly integrates into existing memory controller architectures. The adaptive logic and offset table management can be implemented in firmware, hardware state machines, or a combination of both within the controller ASIC. Performance benefits are multi-fold:\n\n*   **Reduced Read Latency:** By minimizing initial failures and subsequent retries, the average read latency for data access is significantly lowered.\n*   **Improved Throughput:** Fewer retries mean the memory bus and sensing circuits are occupied for shorter durations, leading to higher overall read throughput.\n*   **Power Efficiency:** Each retry consumes power. Proactively optimized reads reduce the number of retries, leading to energy savings, especially critical in large data centers and battery-powered devices.\n*   **Enhanced Endurance:** By more accurately sensing cell states, the system can avoid over-programming or excessive read disturbs, potentially contributing to extended device endurance.\n\n**Code-Level Implications:**\nFrom a software/firmware perspective, this implies modifications to the Flash Translation Layer (FTL) and low-level driver code. The FTL would need to manage the `read offset table` – its creation, updates, and lookups. Firmware routines for read operations would incorporate the logic for initial read, failure detection, adaptive retry, offset calculation, and proactive voltage application. This might involve new commands for the memory device interface to request or provide offset data, or the entire logic could reside within the controller, abstracting it from the host system.\n\nIn essence, the \"Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System\" patent provides a robust, intelligent mechanism to overcome intrinsic limitations of 3D NAND scaling. By moving from a reactive to a proactive error mitigation strategy, it paves the way for more reliable, faster, and longer-lasting nonvolatile memory solutions.","business_analysis":"The \"Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System\" patent represents a significant leap in nonvolatile memory technology, with profound implications for various industries. This innovation directly addresses critical pain points in data storage reliability and performance, unlocking substantial market opportunities and competitive advantages.\n\n**Market Opportunity Size:**\nThe global nonvolatile memory market is enormous and continues to expand, driven by the insatiable demand for data storage in cloud computing, enterprise data centers, artificial intelligence, IoT, and mobile devices. 3D NAND flash, in particular, is a cornerstone of this market, projected to reach hundreds of billions of dollars annually. Within this vast market, the segment focused on high-reliability, high-performance storage is premium. This patent targets a fundamental improvement in the core reliability of 3D NAND, making it applicable across nearly all sectors utilizing this technology. The market opportunity is not just in new device sales but also in extending the useful life and improving the performance of existing and future memory architectures.\n\n**Competitive Advantages:**\nCompanies implementing this technology would gain a significant competitive edge through:\n\n1.  **Superior Data Integrity:** Offering products with demonstrably lower bit error rates and fewer uncorrectable errors translates directly into higher customer trust and reduced support costs related to data loss.\n2.  **Extended Product Lifespan:** Memory devices that last longer provide better value to customers, reduce total cost of ownership (TCO) for enterprises, and improve sustainability metrics.\n3.  **Enhanced Performance:** Fewer read retries mean lower latency and higher throughput, critical for demanding applications like real-time analytics, high-frequency trading, and AI model training.\n4.  **Cost Efficiency:** While there might be an initial investment in controller design, the long-term benefits of reduced field failures, lower RMA rates, and extended memory life can lead to significant cost savings.\n5.  **Future-Proofing:** As 3D NAND scales to more layers and higher bit densities (QLC, PLC), read reliability challenges will intensify. This adaptive approach provides a robust framework to manage these future complexities, positioning early adopters favorably.\n\n**Revenue Potential and Business Models:**\nThis patent enables several revenue streams and business models:\n\n*   **Licensing:** Memory IP vendors could license this technology to NAND flash manufacturers, SSD controller companies, and system-on-chip (SoC) designers.\n*   **Product Differentiation:** NAND flash manufacturers and SSD vendors can integrate this into their products, marketing them as 'ultra-reliable' or 'extended-endurance' solutions, commanding premium pricing.\n*   **Value-Added Services:** Cloud providers or enterprise storage vendors could leverage this technology to offer higher-tier storage services with guaranteed uptime and data integrity, attracting mission-critical workloads.\n*   **Embedded Systems:** Manufacturers of embedded systems (e.g., automotive, industrial IoT) where reliability is paramount can differentiate their products by incorporating this robust memory management.\n\n**Strategic Positioning:**\nThis innovation allows companies to strategically position themselves as leaders in memory reliability and intelligent storage. It shifts the paradigm from reactive error correction to proactive error prevention, a key differentiator in a crowded market. For companies heavily invested in 3D NAND production, this patent offers a path to mitigate the inherent reliability risks of advanced scaling, ensuring their products remain competitive and performant.\n\n**ROI Projections:**\nThe return on investment for adopting this technology can be substantial. For a large data center, extending the life of thousands of SSDs by even 10-20% translates into millions of dollars in hardware replacement savings. For an enterprise, avoiding a single data corruption event can prevent massive financial and reputational damage. The improved performance can lead to faster processing, quicker insights, and ultimately, increased revenue generation from data-intensive applications. While specific ROI figures depend on implementation and scale, the fundamental improvements in reliability and efficiency offered by this patent suggest a compelling business case across the memory ecosystem.","faqs":[{"answer":"The Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System is a groundbreaking patent that describes an innovative method for operating nonvolatile memory devices, particularly those with three-dimensional (3D) memory cell arrays. At its core, this invention focuses on significantly enhancing data read reliability and extending the operational lifespan of memory systems. It achieves this by introducing an adaptive and intelligent approach to how data is read from memory cells.\n\nUnlike traditional methods that rely on fixed read parameters or inefficient brute-force retries, this patent enables the memory system to 'learn' and adapt. It dynamically adjusts read voltage levels based on real-time feedback and historical success, ensuring that data is retrieved accurately even from challenging or partially degraded memory cells. This adaptive capability is crucial for the ongoing evolution of high-density storage technologies like 3D NAND flash.\n\nThis technology is not just an incremental improvement; it represents a fundamental shift in memory management. It moves from a reactive error-handling paradigm to a proactive error-prevention strategy, making memory devices more robust, efficient, and long-lasting. The patent details the specific steps and components required to implement this intelligent memory operation within a device and system context.\n\nKeywords: nonvolatile memory device, 3D memory, adaptive read, memory system, data reliability, patent explanation.","question":"What is Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System?"},{"answer":"The Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System works through a sophisticated, multi-stage adaptive process to ensure accurate data retrieval.\n\nFirst, an initial read operation is performed on a group of memory cells (e.g., connected to a specific word line) using a standard or 'first read voltage level'. This is the system's primary attempt to access the data. If this initial read fails to reliably retrieve the data (e.g., due to uncorrectable errors detected by the ECC engine), the system proceeds to the next step.\n\nSecond, a 'read retry operation' is initiated for the same memory cells. Crucially, during this retry, the read voltage level is intelligently adjusted to a 'second read voltage level'. This adjustment is not random; it's designed to find the optimal voltage that successfully resolves the data ambiguities. Once a successful read is achieved through this retry, the system moves to the learning phase.\n\nThird, a 'read offset table' is dynamically determined. This table is built based on the difference between the initial (first) read voltage level and the successful (second) read voltage level used during the retry. This difference, or 'offset', represents the precise adjustment needed for reliable reading from that specific memory region. The table stores a collection of such read voltage offsets, accumulating a knowledge base of optimal read parameters across the memory array.\n\nFinally, for all subsequent read operations on other memory cells (e.g., connected to a different word line), the system consults this 'read offset table'. It uses the learned offsets to proactively determine and apply a 'third read voltage level' that is already optimized. This predictive capability significantly reduces the likelihood of initial read failures, minimizing the need for further retries and boosting overall performance and reliability. This intelligent, feedback-driven loop is what makes the Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System so effective.\n\nKeywords: adaptive read operation, read retry, read offset table, 3D NAND, memory controller, voltage adjustment.","question":"How does Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System work?"},{"answer":"The Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System patent primarily solves the critical problem of read reliability in advanced nonvolatile memory devices, particularly 3D NAND flash. As memory cells are scaled to higher densities and stacked in multiple layers, they become inherently more susceptible to various physical phenomena that degrade data integrity.\n\nThese phenomena include charge leakage, cell-to-cell interference, read disturb, and threshold voltage (Vt) shifts caused by repeated program/erase cycles and retention loss. Such issues lead to ambiguous electrical signals when attempting to read data, resulting in increased raw bit error rates (RBER). Traditional memory systems typically address these errors reactively through fixed read voltage levels and repetitive, often inefficient, read retry sequences. This brute-force approach consumes significant power, introduces substantial read latency, and does not leverage past successful retries to optimize future operations.\n\nThis invention provides a solution by introducing an intelligent, adaptive, and proactive read mechanism. It minimizes initial read failures and the need for extensive retries by dynamically learning the optimal read voltage levels required for different memory regions. This not only improves the immediate accuracy of data retrieval but also helps to extend the useful life of the memory device by effectively reading from marginally degraded cells. Thus, the patent addresses the core challenge of maintaining high data integrity and performance in the face of escalating memory complexities.\n\nKeywords: memory read errors, 3D NAND reliability, data integrity, nonvolatile memory problems, read latency, memory degradation.","question":"What problem does Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System solve?"},{"answer":"The patent data provided does not specify the names of the inventors. Typically, patent applications list the individual inventors responsible for the conception of the invention. This information is crucial for understanding the intellectual lineage of a technology.\n\nWhile the inventors are not listed, the innovation described in Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System is characteristic of advancements made by leading semiconductor companies and research institutions focused on memory technology. These entities invest heavily in R&D to overcome the physical limitations of memory scaling and enhance device performance and reliability.\n\nIdentifying the inventors would provide insight into the specific expertise and background that led to this adaptive memory management solution. Without this information, we can infer that the invention likely emerged from a team of experts in nonvolatile memory design, memory controllers, signal processing, and error correction techniques, aiming to push the boundaries of 3D NAND flash technology.\n\nKeywords: patent inventors, memory innovation, intellectual property, semiconductor research, 3D NAND development, memory technology experts.","question":"Who invented Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System?"},{"answer":"The Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System offers several significant benefits that address critical challenges in modern data storage:\n\nFirstly, it provides **significantly enhanced data reliability and integrity**. By adaptively adjusting read voltage levels and proactively applying optimized settings, the system drastically reduces the probability of read errors. This is paramount for mission-critical applications where data corruption can have severe consequences, such as in enterprise data centers, financial systems, and autonomous vehicles.\n\nSecondly, the invention contributes to an **extended operational lifespan and endurance** of nonvolatile memory devices. The ability to accurately retrieve data from cells that might be partially degraded or nearing their end-of-life cycle means these devices can remain in service for longer. This translates into a lower total cost of ownership (TCO) for businesses and reduces electronic waste, promoting sustainability.\n\nThirdly, it leads to **improved performance and reduced latency**. By minimizing initial read failures and the need for time-consuming read retry sequences, data can be accessed much faster. This is crucial for high-performance computing, real-time analytics, and any application where speed of data retrieval is a bottleneck.\n\nFinally, the adaptive nature of the Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System makes it **future-proof and highly scalable**. As 3D NAND technology continues to evolve with more layers and higher bit densities (QLC, PLC), the challenges of read reliability will only intensify. This intelligent, learning-based approach provides a robust framework to manage these future complexities without sacrificing performance or reliability, ensuring the continued advancement of storage technology.\n\nKeywords: memory benefits, data reliability, extended lifespan, improved performance, reduced latency, 3D NAND advantages.","question":"What are the key benefits of Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System?"},{"answer":"The Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System distinguishes itself from prior art by fundamentally shifting from a reactive, brute-force approach to a proactive, adaptive, and learning-based memory management strategy.\n\nPrior art solutions primarily relied on fixed read voltage levels and predefined read retry sequences. When a read error occurred, the memory controller would typically cycle through a static list of alternative read voltages until the data could be successfully retrieved and corrected by ECC. This approach was inherently inefficient because it was reactive (only acted after a failure), time-consuming (blindly trying voltages), and lacked intelligence (didn't learn from past successes).\n\nIn contrast, this patent introduces several key differentiators. Firstly, it features an *adaptive read retry* where the second read voltage is intelligently determined based on the observed failure, rather than being a generic step in a sequence. Secondly, and most significantly, it *generates and utilizes a dynamic 'read offset table'*. This table stores learned voltage adjustments (offsets) based on successful retries, effectively creating a knowledge base for the memory system. This is a major departure from prior art, which typically did not retain or leverage such specific, learned information.\n\nFinally, the invention enables *proactive read optimization*. For subsequent read operations, the system consults this learned offset table to apply an already optimized read voltage, significantly reducing the likelihood of initial read failures. This predictive capability is a core advantage, leading to fewer retries, lower latency, and higher overall reliability compared to the reactive, unlearning methods of prior art. The Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System represents a paradigm shift towards intelligent, self-optimizing memory operations.\n\nKeywords: prior art comparison, adaptive memory, read offset table, proactive optimization, reactive error handling, memory innovation.","question":"How is Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System different from prior art?"},{"answer":"The Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System has the potential to impact a wide array of industries that heavily rely on high-performance, reliable nonvolatile memory. Its core benefits in data integrity, device longevity, and read performance are critical across numerous sectors.\n\n**Cloud Computing and Enterprise Storage:** Hyperscale data centers and enterprise storage solutions will see immense benefits. Improved reliability and extended lifespan of SSDs reduce operational costs, lower total cost of ownership (TCO), and enhance the uptime and stability of critical cloud services and enterprise applications. Faster read performance also directly impacts the responsiveness of cloud-based services.\n\n**Artificial Intelligence (AI) and Machine Learning (ML):** AI/ML workloads are incredibly data-intensive, requiring rapid access to vast datasets. The enhanced read performance and data integrity offered by this patent are crucial for training large models, deploying edge AI, and ensuring the reliability of AI-driven systems where data corruption can lead to flawed decision-making.\n\n**Automotive and Autonomous Vehicles:** Data storage in vehicles, especially for advanced driver-assistance systems (ADAS) and autonomous driving, demands extreme reliability and endurance under harsh conditions. The adaptive memory management of this invention can ensure the integrity of critical sensor data, maps, and AI algorithms, which is non-negotiable for safety and performance.\n\n**Consumer Electronics:** Smartphones, tablets, laptops, and gaming consoles will benefit from more reliable and faster storage, leading to better user experiences, fewer data loss incidents, and longer device lifespans.\n\n**Industrial IoT (IIoT) and Edge Computing:** Devices in industrial settings often operate in challenging environments and require long-term reliability without human intervention. This patent's ability to extend memory life and maintain data integrity is vital for IIoT sensors, gateways, and edge servers.\n\nEssentially, any industry where data is critical and memory reliability is a key factor will be positively impacted by the Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System, enabling more robust and efficient digital infrastructure.\n\nKeywords: industry impact, cloud storage, AI applications, automotive memory, consumer electronics, Industrial IoT, enterprise solutions.","question":"What industries will Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System impact?"},{"answer":"The Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System patent was filed on **September 30, 2016**. The patent was subsequently published on **December 26, 2017**.\n\nThe filing date marks the official submission of the patent application to the relevant patent office (in this case, the USPTO, indicated by the US-9852804 number). This date is significant as it establishes the priority date for the invention, meaning that the concepts described in the patent are considered novel as of this date.\n\nThe publication date is when the patent application becomes publicly accessible. While the patent may not have been fully granted by the publication date, it allows the public, including competitors and researchers, to review the details of the invention. This transparency is a core principle of the patent system, fostering innovation and knowledge sharing.\n\nUnderstanding these dates provides context for the technology's development timeline within the broader nonvolatile memory industry. Given its filing in 2016 and publication in 2017, the Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System reflects advancements being made in 3D NAND reliability during a period of rapid scaling and increasing demand for robust storage solutions.\n\nKeywords: patent filing date, patent publication date, US-9852804, patent timeline, memory technology development, nonvolatile memory history.","question":"When was Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System filed/granted?"},{"answer":"The commercial applications of the Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System are extensive and span across any product or system that utilizes 3D NAND flash memory and demands high reliability and performance. This patent provides a foundational technology that can be integrated into various memory-centric products.\n\n**Solid-State Drives (SSDs):** This is perhaps the most direct application. High-end enterprise SSDs, client SSDs for laptops and desktops, and even industrial-grade SSDs will benefit from the enhanced data integrity and extended lifespan. Manufacturers can market 'ultra-reliable' or 'extended-endurance' SSDs, commanding premium pricing. This is crucial for products where data loss is unacceptable or where devices need to operate for many years without failure.\n\n**Memory Modules and Embedded Flash:** The technology can be integrated into eMMC (embedded MultiMediaCard) and UFS (Universal Flash Storage) modules used in smartphones, tablets, and automotive systems. This improves the performance and longevity of these devices, directly impacting user experience and product reliability. For embedded systems, where space and power are constrained, the efficiency gains are particularly valuable.\n\n**Cloud and Data Center Infrastructure:** Cloud service providers and data center operators can leverage this technology to build more robust and efficient storage arrays. Reduced read errors mean less data loss, lower operational costs, and higher service level agreement (SLA) compliance. The extended lifespan of memory devices also translates into significant capital expenditure savings.\n\n**AI Accelerators and Edge Computing Devices:** AI and machine learning hardware, especially at the edge, often require fast, reliable access to large datasets or model parameters. This patent ensures that such data is consistently available and accurate, improving the performance and dependability of AI-driven applications. The Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System is a key enabler for next-generation intelligent systems.\n\nKeywords: commercial applications, SSD technology, eMMC/UFS, data center storage, AI hardware, edge computing, memory product development.","question":"What are the commercial applications of Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System?"},{"answer":"The Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System lays a robust foundation for exciting future developments in nonvolatile memory technology. Its adaptive, learning-based approach is highly extensible and can be enhanced in several ways.\n\nOne key area for future development is **more sophisticated AI/ML integration**. The 'read offset table' could evolve into dynamic machine learning models embedded directly within memory controllers. These models could continuously learn from a wider array of telemetry data—such as temperature, workload patterns, neighboring cell interference, and even historical program/erase counts—to predict optimal read/write parameters with even greater precision. This would move beyond simple offsets to truly predictive, self-optimizing memory operations.\n\nAnother expected development is **adaptive lifespan management and 'self-healing' capabilities**. Building upon the ability to accurately read from degraded cells, future systems could proactively manage the lifespan of individual memory blocks. This might involve dynamically adjusting write parameters, reallocating data to healthier blocks, or even employing advanced error recovery techniques (like soft-error detection and correction beyond standard ECC) in a targeted manner, effectively making memory devices 'self-aware' and 'self-healing'.\n\nFurthermore, the principles of the Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System could be extended to **heterogeneous memory systems**. As computing architectures increasingly integrate different types of memory (e.g., DRAM, NAND, Storage Class Memory, emerging nonvolatile memories), adaptive management will be crucial for seamlessly orchestrating data flow and ensuring optimal performance and reliability across a diverse memory hierarchy. This would allow systems to dynamically place data on the most appropriate memory tier based on its access patterns and criticality.\n\nFinally, we can anticipate **standardization and broader adoption** across the industry. As the benefits become undeniable, the core concepts of adaptive read operations and dynamic offset tables will likely become industry standards or widely adopted best practices, driving a new era of intelligent, highly reliable, and sustainable nonvolatile memory solutions across all market segments.\n\nKeywords: future memory tech, AI in memory, self-healing memory, heterogeneous memory, memory standardization, adaptive algorithms, nonvolatile memory roadmap.","question":"What are the future developments expected for Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System?"}],"topics":["nonvolatile memory device","memory system","3D memory cell array","adaptive read operation","read retry","relentless","pursuit","higher"],"tech_cluster":null},"seo":{"title":"Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System - Patent US-9852804","description":"Discover how the Nonvolatile Memory Device, Memory System, Method of Operating Nonvolatile Memory Device, and Method of Operating Memory System enhances 3D NAND reliability with adaptive read operations and dynamic offset tables. Improve data integrity and extend memory lifespan.","keywords":["nonvolatile memory device","memory system","3D memory cell array","adaptive read operation","read retry","read offset table","memory reliability","NAND flash","data integrity","memory lifespan","patent US-9852804","memory optimization","storage technology","voltage level adjustment","memory controller"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9852804","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9852804","citation_suggestion":"Patentable. \"Nonvolatile memory device, memory system, method of operating nonvolatile memory device, and method of operating memory system\" (US-9852804). https://patentable.app/patents/US-9852804","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9852804","json":"https://patentable.app/api/llm-context/US-9852804","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T12:19:14.976Z"}